Building and maintaining ontologies can be challenging due to the need to automate a number of common tasks, such as running quality control checks, automatic classification using reasoners, generating standard reports, extracting application-specific subsets, and managing ontology dependencies. These workflows are in some aspects analogous to workflows used in software engineering as part of the normal product lifecycle. However, in contrast to software development, there is a lack of easy to use tooling to support the execution of these workflows for ontology developers